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The activation of contextually predictable words in syntactically illegal positions
Michael G Cutter1, Andrea E Martin2,3, Patrick Sturt4
1School of Psychology, University of Nottingham, Nottingham, UK.
Predictable words are more likely to be skipped during reading, even when they appear in grammatically incorrect sentence positions. This eye-tracking study reveals prediction effects in language processing.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Neuroscience
Background:
- Theories of language processing suggest that readers predict upcoming words.
- Predictability influences how readers process words, but its effect in syntactically illegal contexts is debated.
- Lexical prediction models aim to explain how word expectations impact reading behavior.
Purpose of the Study:
- To test whether predictable words are skipped more than unpredictable words, even in syntactically illegal positions.
- To investigate the role of lexical prediction in eye-tracking during reading.
- To compare predictability effects in legal versus illegal syntactic structures.
Main Methods:
- An eye-tracking experiment using the boundary paradigm was conducted.
- Participants read sentences with predictable or unpredictable target nouns in legal and illegal positions.
- A Bayesian linear-mixed model analyzed skipping patterns based on word predictability and syntactic legality.
Main Results:
- A 5.7% predictability effect on noun skipping was observed in syntactically legal positions.
- A 3.1% predictability effect on noun skipping was found in syntactically illegal positions.
- Predictable words were skipped more frequently than unpredictable words across both legal and illegal contexts.
Conclusions:
- Findings support theories suggesting that lexical prediction influences reading behavior, even when encountering grammatical errors.
- The study demonstrates that word predictability affects skipping patterns in both syntactically correct and incorrect sentence structures.
- Results contribute to understanding the mechanisms of predictive processing in language comprehension.
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